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Observability intermediate ⏱ 30 minutes K8s 1.28+

Monitor NCCL Benchmark Runs with Prometheus and Grafana

Track NCCL benchmark outcomes and GPU telemetry over time with Prometheus and Grafana dashboards to detect communication regressions early.

By Luca Berton β€’ β€’ πŸ“– 5 min read

πŸ’‘ Quick Answer: Combine NCCL benchmark logs with GPU metrics (utilization, memory, interconnect indicators) in Grafana dashboards to detect performance drift across cluster changes.

Benchmark snapshots are useful, but trend-based monitoring catches regressions sooner.

Data Sources

  • NCCL benchmark output logs
  • DCGM exporter metrics
  • Node and pod metadata labels

Dashboard Suggestions

  • Benchmark run duration by node pair
  • Effective bandwidth trend by test profile
  • GPU utilization and memory during tests
  • Failure count per benchmark type

Operational Practice

Schedule recurring benchmark jobs and alert when bandwidth drops below baseline thresholds.

#nccl #prometheus #grafana #observability #gpu
Luca Berton
Written by Luca Berton

Principal Solutions Architect specializing in Kubernetes, AI/GPU infrastructure, and cloud-native platforms. Author of Kubernetes Recipes and creator of CopyPasteLearn courses.

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